Evidence map›Paper›PMID 32410185›Full record

ReviewBiophysical reviews2020

Analysis of stones formed in the human gall bladder and kidney using advanced spectroscopic techniques.

Vivek K Singh, Brijbir S Jaswal, Jitendra Sharma, Pradeep K Rai

Open access · bronzeAbstract readReview
In one paragraph

Review in Biophysical reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Vivek K SinghSchool of Physics, Shri Mata Vaishno Devi University, Kakryal, Katra, Jammu and Kashmir, 182320, India. vivekksingh2005@gmail.com.ORCID http://orcid.org/0000-0002-2964-4817
Brijbir S JaswalSchool of Physics, Shri Mata Vaishno Devi University, Kakryal, Katra, Jammu and Kashmir, 182320, India.
Jitendra SharmaSchool of Physics, Shri Mata Vaishno Devi University, Kakryal, Katra, Jammu and Kashmir, 182320, India.
Pradeep K RaiDepartment of Urology and Nephrology, Opal Hospital, Kakarmatta, Varanasi, Uttar Pradesh, 221010, India.
Shri Mata Vaishno Devi University · INMittal hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stone diseases (gallstones and kidney stones) are extremely painful and often cause death. The prime aim of biomedical research in this area has been determination of factors resulting in stone formation inside the gallbladder and urinary tract. Many theories have been put forward to explain the mechanism of stone formation and their growth; however, their complete cycle of pathogenesis is still under debate. Several factors are responsible for stone formation; however, much emphasis is placed on the determination of elemental and molecular composition of the stones. In the present review article, we describe different kinds of spectroscopic techniques such as Fourier transform infrared spectroscopy (FTIR), X-ray fluorescence (XRF) spectroscopy, time-of-flight secondary ion mass spectrometry (TOF-SIMS), and laser-induced breakdown spectroscopy (LIBS) and highlight their use in the analysis of stone diseases. We have summarized work done on gallstones and kidney stones using these advanced techniques particularly over the last 10 years. We have also briefly elaborated the basics of stone formations inside the human body and their complications for a better understanding of the subject.

Indexed as

And LIBSEDXRFFTIRGallstonesKidney stonesTOF-SIMSWDXRF

Identifiers

PMID32410185
PMCPMC7311631
OpenAlexW3024061586

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.